Holding a Congestion Prediction Challenge Contest

-Challenging the sophistication of congestion prediction on Expressway using expressway toll and route search data-

PDF version [PDF: 316KB]

January 25, 2023
East Nippon Expressway Co., Ltd.
Interfaculty Initiative in Information Studies, University of Tokyo

NEXCO EAST (Chiyoda-ku, Tokyo) and the University of Tokyo Graduate School of Interdisciplinary Information Studies (Bunkyo-ku, Tokyo) will hold a traffic congestion prediction challenge contest. (Recruitment period: January 25th to March 31st) In addition to traffic volume and speed data, we will use expressway tolls and route search data (information on Expressway departure schedules) that have not been used until now to predict traffic congestion. I'm going to go to the middle of the day. By utilizing the results of this contest, we aim to advance traffic congestion prediction with new ideas.

1. Outline of Challenge Contest

Details: See Attachment 1 [PDF: 134KB]

Modeling Department:
We will develop a traffic congestion prediction algorithm based on the data provided by our company, and predict traffic congestion for a specified date (including the Golden Week period) from April 1 to May 7, 2023. In addition to the traffic volume and speed data used in previous predictions, this time we will use expressway toll and route search data, which is information on Expressway departure schedules.
Idea category:
In addition to the data provided by our company, we will also utilize externally provided data to propose ideas for new services on the theme of Expressway.
Image of "Image of application page (SIGNATE)"
"Image of application page (SIGNATE)"

2. Schedule

January 25, 2023 Application start
February 16, 2023 Briefing session
March 31, 2023 Application deadline
April to May 2023 Prediction accuracy evaluation of congestion prediction by the modeling department
June 2023 1st round selection (selection of final selection candidates by examination of documents, etc.)
July 2023 Final selection (selection of modeling award and good idea award by presentation screening), award ceremony

3. Qualification requirements

Anyone can apply, regardless of whether they are corporations or individuals.

Four. Application method

Please apply from the dedicated page of this contest published on the competition site "SIGNATE".

Five. judge

Noboru Koshizuka Professor, Interfaculty Initiative in Information Studies, University of Tokyo
Yuya Shibuya, Associate Professor, Center for Spatial Information Science, The University of Tokyo
Mobility Journalist Etsuko Kusuda
NEXCO Research Institute Traffic Environment Research Department Traffic Research Manager Ken Xing Shin Jan
Noriyoshi Nakanishi General Manager, ITS Promotion Department, NEXCO EAST Management Business Headquarters

6. What is a challenge contest?

This contest is part of the "Joint Research on Data Utilization Initiatives" based on the "Research Cooperation Agreement on Information Society Infrastructure" signed in 2011 by NEXCO EAST and the Graduate School of Interdisciplinary Information Studies of the University of Tokyo.
Traffic congestion prediction is one of the things that NEXCO EAST is working on to create a safer and more secure transportation future. In research on traffic congestion, although the causes and mitigation methods have been found, predictions are made based on many years of experience. This contest is one of the priority projects (6) and (29) of the company's "Aim of the next-generation Expressway that accelerates the realization of an autonomous driving society (concept)" (announced on April 28, 2021). We are soliciting innovative data analysis cases and ideas for the purpose of improving the accuracy of traffic congestion prediction by utilizing big data.

The NEXCO EAST Group has positioned the period from 2021 to 2025 as "a period to contribute to the achievement of the SDGs and transform toward a new future society", and is making various efforts.
We believe that the holding of this Congestion Prediction Challenge Contest will contribute to SDGs goals 3 and 9 as a business activity that will lead to the provision of safe road spaces by alleviating traffic congestion.

Image of SUSTAINABLE DEVELOPMENT GOALS logo and SDGs target 3rd and 9th logos
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